Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II (Paperback, 1st ed. 2018)


The four-volume set LNCS 11256, 11257, 11258 and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018. The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

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Product Description

The four-volume set LNCS 11256, 11257, 11258 and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018. The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11257

Release date

November 2018

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2018

Editors

, , , , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

518

Edition

1st ed. 2018

ISBN-13

978-3-03-003334-7

Barcode

9783030033347

Categories

LSN

3-03-003334-1



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